Martin Hirzel

Artificial Intelligence · 2006–2021

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Probabilistic & Bayesian Methods — 17 citations into it
• Statistics and Probability — 6 citations into it

Whom Martin Hirzel trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Eugene Wu
2. Daniel J. Abadi
3. S. Staton
4. Matthew D. Hoffman
5. Brian Babcock
6. William Thies
7. Yanlei Diao
8. Rajeev Motwani

Papers from Martin Hirzel's perspective

Ordered by how strongly the researchers Martin Hirzel trusts endorse each paper. Same corpus, a different order for every researcher.

1. Church: a language for generative models
2. Stan: A Probabilistic Programming Language
3. Probabilistic programming in Python using PyMC3
4. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
5. Deep Probabilistic Programming
6. Load shedding for aggregation queries over data streams (Proceedings / International Conference on Data Engineering)
7. Models and issues in data stream systems (ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems)
8. Data Analysis Using Regression and Multilevel/Hierarchical Models
9. A stream compiler for communication-exposed architectures (ASPLOS X)
10. Design and Implementation of Probabilistic Programming Language Anglican

Their papers

• Compiling Stan to generative probabilistic languages and extension to deep probabilistic programming (2021) — 15 citations
• A catalog of stream processing optimizations (2014) — 379 citations
• The DaCapo benchmarks: java benchmarking development and analysis (2006) — 1,736 citations